Our aim is to develop algorithms and tools, as well as contributing to implement and facilitate uptake of this approach.
One approach under development if the use of graph-based representations of sequences opens up for representing large- and small-scale variations across different species in a common reference structure, enabling standardized and consistent statistical inference on a scale that is not possible through the use of linear reference genomes.
Our aim is to understand the interplay of various epigenetic modifications of DNA and histones, of chromatin structure and spatial genome organization, and of binding of proteins to DNA.
A large number of microorganisms are present in our bodies and in our environment and may have a profound impact on our health. We develop DNA-based computational methods to analyse their composition and evolution.